tf.train.shuffle_batch_join()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.train.shuffle_batch_join(tensors_list, batch_size, capacity, min_after_dequeue, seed=None, enqueue_many=False, shapes=None, allow_smaller_final_batch=False, shared_name=None

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tensorflow::Env::GetFileSystemForFile()
  • References/Big Data/TensorFlow/TensorFlow C++/Env

Status tensorflow::Env::GetFileSystemForFile(const string &fname, FileSystem **result) Returns the FileSystem object to handle

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tf.Session.close()
  • References/Big Data/TensorFlow/TensorFlow Python/Running Graphs

tf.Session.close() Closes this session. Calling this method frees all resources associated with

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tensorflow::Tensor::SharesBufferWith()
  • References/Big Data/TensorFlow/TensorFlow C++/Tensor

bool tensorflow::Tensor::SharesBufferWith(const Tensor &b) const

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tf.contrib.training.NextQueuedSequenceBatch.
  • References/Big Data/TensorFlow/TensorFlow Python/Training

tf.contrib.training.NextQueuedSequenceBatch.__init__(state_saver)

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tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.entropy()
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.entropy(name='entropy')

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tf.contrib.distributions.Poisson.log_pdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Poisson.log_pdf(value, name='log_pdf') Log probability density function. Args:

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tf.contrib.distributions.Beta
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

class tf.contrib.distributions.Beta Beta distribution. This distribution is parameterized by a

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tf.contrib.distributions.InverseGamma.log_pmf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.InverseGamma.log_pmf(value, name='log_pmf') Log probability mass function. Args:

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tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.loss()
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.loss(final_loss, name='Loss')

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